| Title |
ncRNAclassifier: a tool for detection and classification of transposable element sequences in RNA hairpins
|
|---|---|
| Published in |
BMC Bioinformatics, September 2012
|
| DOI | 10.1186/1471-2105-13-246 |
| Pubmed ID | |
| Authors |
Sébastien Tempel, Nicolas Pollet, Fariza Tahi |
| Abstract |
Inverted repeat genes encode precursor RNAs characterized by hairpin structures. These RNA hairpins are then metabolized by biosynthetic pathways to produce functional small RNAs. In eukaryotic genomes, short non-autonomous transposable elements can have similar size and hairpin structures as non-coding precursor RNAs. This resemblance leads to problems annotating small RNAs. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Brazil | 2 | 5% |
| France | 1 | 2% |
| Russia | 1 | 2% |
| Unknown | 38 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 27% |
| Researcher | 10 | 23% |
| Other | 5 | 11% |
| Professor > Associate Professor | 4 | 9% |
| Student > Master | 4 | 9% |
| Other | 7 | 16% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 61% |
| Biochemistry, Genetics and Molecular Biology | 8 | 18% |
| Computer Science | 4 | 9% |
| Engineering | 2 | 5% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 2 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 September 2012.
All research outputs
#17,666,399
of 22,679,690 outputs
Outputs from BMC Bioinformatics
#5,910
of 7,251 outputs
Outputs of similar age
#125,208
of 171,685 outputs
Outputs of similar age from BMC Bioinformatics
#82
of 105 outputs
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